OOIR: Observatory of International Research

Papers

(The median citation count of User Modeling and User-Adapted Interaction is 4. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)

Article	Citations
Sandra Carberry, in memoriam	171
Influence of Device Performance and Agent Advice on User Trust and Behaviour in a Care-taking Scenario	128
Learner models: design, components, structure, and modelling	45
Recommending on graphs: a comprehensive review from a data perspective	42
Persuasion-enhanced computational argumentative reasoning through argumentation-based persuasive frameworks	40
Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises	30
Generalisable sensor-free frustration detection in online learning environments using machine learning	29
Informative representations for forgetting-robust knowledge tracing	26
Deep adversarial group recommendation with user feature space separation	21
Investigating different recommender algorithms in the domain of physical activity recommendations: a longitudinal between-subjects user study	21
Correction: Twenty-Five Years of Bayesian knowledge tracing: a systematic review	20
Preface to the special issue on conversational recommender systems: theory, models, evaluations, and trends	20
Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial	20
Preface on the special issue on group recommender systems	19
Ensuring accuracy and fairness: a de-biasing framework for sequential recommendation	19
Preface to the special issue on personalization and adaptation in human–robot interactive communication	17
Balancing exploitation and exploration: how preference characteristics influence users' evaluation of Spotify's Discover Weekly	17
Gaze-based predictive models of deep reading comprehension	15
Intra-list similarity and human diversity perceptions of recommendations: the details matter	15
User-centered personalized gamification: an umbrella review	15
TriDeepRec: a hybrid deep learning approach to content- and behavior-based recommendation systems	14
A novel heterogeneous hypergraph social network recommendation system	13
A context-aware recommender system-based framework for improving cultural experiences	13
Enhancing user awareness on inferences obtained from fitness trackers data	13
Non-binary evaluation of next-basket food recommendation	12

Example, nudge, or practice? Assessing metacognitive knowledge transfer of factual and procedural learners	12
Digitally nudging users to explore off-profile recommendations: here be dragons	11
Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders	10
Fair performance-based user recommendation in eCoaching systems	10
An explainable content-based approach for recommender systems: a case study in journal recommendation for paper submission	10
Safe, effective and explainable drug recommendation based on medical data integration	10
An overview of consensus models for group decision-making and group recommender systems	10
Personalized recommendations for learning activities in online environments: a modular rule-based approach	9
Exploring the impact of explainable AI and cognitive capabilities on users’ decisions	9
Improving selection diversity using hybrid graph-based news recommenders	8
One size does not fit all: detecting attention in children with autism using machine learning	8
Generating explanations for knowledge-aware conversational recommendation systems	8
Enhancing a student productivity model for adaptive problem-solving assistance	7
Clustering of conversational bandits with posterior sampling for user preference learning and elicitation	7
Efficient incorporation of new interactions in graph recommenders via folding-in	7
A Bayesian framework for learning proactive robot behaviour in assistive tasks	7
Modeling the phases of rule learning during problem solving with an interactive learning environment	7
Data-constrained personalization of cognitive state detection with feature-based and foundation models	6
Socially enhanced graph network for early identification of at-risk students in virtual learning environments	6
Fairness in recommender systems: research landscape and future directions	6
The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation	6
Use of topical and temporal profiles and their hybridisation for content-based recommendation	6
A contrastive self-supervised learning method for source-free EEG emotion recognition	6
Cognitive personalization for online microtask labor platforms: A systematic literature review	6
A novel group recommender system for domain-independent decision support customizing a grouping genetic algorithm	6
Solving the imbalanced data issue: automatic urgency detection for instructor assistance in MOOC discussion forums	5
Examining the merits of feature-specific similarity functions in the news domain using human judgments	5
SNRBERT: session-based news recommender using BERT	5
Emotional intelligence and individuals’ viewing behaviour of human faces: a predictive approach	5
Using latent variable models to make gaming-the-system detection robust to context variations	4
Personalization of industrial human–robot communication through domain adaptation based on user feedback	4
Preface to the special issue on news personalization and analytics	4
Investigating meta-intents: user interaction preferences in conversational recommender systems	4
A deep neural network approach for fake news detection using linguistic and psychological features	4
Validating Motives of Autonomous Players (MAP) inventory: a bottom-up model of general motivational factors to videogame play	4
What we see is what we do: a practical Peripheral Vision-Based HMM framework for gaze-enhanced recognition of actions in a medical procedural task	4
Persuasive strategies and emotional states: towards designing personalized and emotion-adaptive persuasive systems	4
The impacts of relevance of recommendations and goal commitment on user experience in news recommender design	4
Modeling users’ heterogeneous taste with diversified attentive user profiles	4
Deep shared learning and attentive domain mapping for cross-domain recommendation	4
Automatically detecting task-unrelated thoughts during conversations using keystroke analysis	4
Justification of recommender systems results: a service-based approach	4
Improving collaborative problem-solving skills via automated feedback and scaffolding: a quasi-experimental study with CPSCoach 2.0	4
Autoregressive generation strategies for Top-K sequential recommendations	4